Evaluation of Human Immune-Based IDPS Under DoS/DDoS Attacks

Farouq Aliyu; Tarek Sheltami; Marwan Abu-Amara; Mohamed Deriche; Ashraf Mahmoud

doi:10.1007/978-3-031-33743-7_41

Evaluation of Human Immune-Based IDPS Under DoS/DDoS Attacks

Farouq Aliyu^*, Tarek Sheltami, Marwan Abu-Amara, Mohamed Deriche, Ashraf Mahmoud

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Typical intrusion detection and prevention systems (IDPS) require a lot of computing resources such as; CPU time, memory, and energy. However, some resources are not in abundance in fog computing (FC). FC is a computer networking paradigm where computing devices provide services to the user in place of the server. In our previous research, we proposed an IDPS that mimics the human immune behavior by using layers of defense that interact with one another to detect attacks aimed at the fog layer. This paper investigates how the proposed system adapts to denial of service (DoS) and distributed denial of service (DDoS) attacks. The results show that the system has an accuracy of 91.46%. More importantly, the system can recover from both with the help of its intrusion prevention mechanism.

Original language	English
Title of host publication	Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23)
Editors	Kevin Daimi, Abeer Al Sadoon
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	500-510
Number of pages	11
ISBN (Print)	9783031337420
DOIs	https://doi.org/10.1007/978-3-031-33743-7_41
State	Published - 2023
Event	1st International Conference on Advances in Computing Research, ACR’23 - Orlando, United States Duration: 8 May 2023 → 10 May 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	700 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	1st International Conference on Advances in Computing Research, ACR’23
Country/Territory	United States
City	Orlando
Period	8/05/23 → 10/05/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

DDoS
DoS
Fog Computing
Human-Immune
Internet of Things
Intrusion Detection and Prevention System
Network Security

ASJC Scopus subject areas

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

Access to Document

10.1007/978-3-031-33743-7_41

Cite this

Aliyu, F., Sheltami, T., Abu-Amara, M., Deriche, M., & Mahmoud, A. (2023). Evaluation of Human Immune-Based IDPS Under DoS/DDoS Attacks. In K. Daimi, & A. Al Sadoon (Eds.), Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23) (pp. 500-510). (Lecture Notes in Networks and Systems; Vol. 700 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-33743-7_41

Aliyu, Farouq ; Sheltami, Tarek ; Abu-Amara, Marwan et al. / Evaluation of Human Immune-Based IDPS Under DoS/DDoS Attacks. Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23). editor / Kevin Daimi ; Abeer Al Sadoon. Springer Science and Business Media Deutschland GmbH, 2023. pp. 500-510 (Lecture Notes in Networks and Systems).

@inproceedings{37a7c0abfeac494cb5ab44af4fdfa2dd,

title = "Evaluation of Human Immune-Based IDPS Under DoS/DDoS Attacks",

abstract = "Typical intrusion detection and prevention systems (IDPS) require a lot of computing resources such as; CPU time, memory, and energy. However, some resources are not in abundance in fog computing (FC). FC is a computer networking paradigm where computing devices provide services to the user in place of the server. In our previous research, we proposed an IDPS that mimics the human immune behavior by using layers of defense that interact with one another to detect attacks aimed at the fog layer. This paper investigates how the proposed system adapts to denial of service (DoS) and distributed denial of service (DDoS) attacks. The results show that the system has an accuracy of 91.46\%. More importantly, the system can recover from both with the help of its intrusion prevention mechanism.",

keywords = "DDoS, DoS, Fog Computing, Human-Immune, Internet of Things, Intrusion Detection and Prevention System, Network Security",

author = "Farouq Aliyu and Tarek Sheltami and Marwan Abu-Amara and Mohamed Deriche and Ashraf Mahmoud",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 1st International Conference on Advances in Computing Research, ACR{\textquoteright}23 ; Conference date: 08-05-2023 Through 10-05-2023",

year = "2023",

doi = "10.1007/978-3-031-33743-7\_41",

language = "English",

isbn = "9783031337420",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "500--510",

editor = "Kevin Daimi and \{Al Sadoon\}, Abeer",

booktitle = "Proceedings of the 2023 International Conference on Advances in Computing Research (ACR{\textquoteright}23)",

address = "Germany",

}

Aliyu, F , Sheltami, T, Abu-Amara, M, Deriche, M & Mahmoud, A 2023, Evaluation of Human Immune-Based IDPS Under DoS/DDoS Attacks. in K Daimi & A Al Sadoon (eds), Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23). Lecture Notes in Networks and Systems, vol. 700 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 500-510, 1st International Conference on Advances in Computing Research, ACR’23, Orlando, United States, 8/05/23. https://doi.org/10.1007/978-3-031-33743-7_41

Evaluation of Human Immune-Based IDPS Under DoS/DDoS Attacks. / Aliyu, Farouq ; Sheltami, Tarek; Abu-Amara, Marwan et al.
Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23). ed. / Kevin Daimi; Abeer Al Sadoon. Springer Science and Business Media Deutschland GmbH, 2023. p. 500-510 (Lecture Notes in Networks and Systems; Vol. 700 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Evaluation of Human Immune-Based IDPS Under DoS/DDoS Attacks

AU - Aliyu, Farouq

AU - Sheltami, Tarek

AU - Abu-Amara, Marwan

AU - Deriche, Mohamed

AU - Mahmoud, Ashraf

PY - 2023

Y1 - 2023

N2 - Typical intrusion detection and prevention systems (IDPS) require a lot of computing resources such as; CPU time, memory, and energy. However, some resources are not in abundance in fog computing (FC). FC is a computer networking paradigm where computing devices provide services to the user in place of the server. In our previous research, we proposed an IDPS that mimics the human immune behavior by using layers of defense that interact with one another to detect attacks aimed at the fog layer. This paper investigates how the proposed system adapts to denial of service (DoS) and distributed denial of service (DDoS) attacks. The results show that the system has an accuracy of 91.46%. More importantly, the system can recover from both with the help of its intrusion prevention mechanism.

AB - Typical intrusion detection and prevention systems (IDPS) require a lot of computing resources such as; CPU time, memory, and energy. However, some resources are not in abundance in fog computing (FC). FC is a computer networking paradigm where computing devices provide services to the user in place of the server. In our previous research, we proposed an IDPS that mimics the human immune behavior by using layers of defense that interact with one another to detect attacks aimed at the fog layer. This paper investigates how the proposed system adapts to denial of service (DoS) and distributed denial of service (DDoS) attacks. The results show that the system has an accuracy of 91.46%. More importantly, the system can recover from both with the help of its intrusion prevention mechanism.

KW - DDoS

KW - DoS

KW - Fog Computing

KW - Human-Immune

KW - Internet of Things

KW - Intrusion Detection and Prevention System

KW - Network Security

UR - https://www.scopus.com/pages/publications/85163314998

U2 - 10.1007/978-3-031-33743-7_41

DO - 10.1007/978-3-031-33743-7_41

M3 - Conference contribution

AN - SCOPUS:85163314998

SN - 9783031337420

T3 - Lecture Notes in Networks and Systems

SP - 500

EP - 510

BT - Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23)

A2 - Daimi, Kevin

A2 - Al Sadoon, Abeer

PB - Springer Science and Business Media Deutschland GmbH

T2 - 1st International Conference on Advances in Computing Research, ACR’23

Y2 - 8 May 2023 through 10 May 2023

ER -

Aliyu F , Sheltami T, Abu-Amara M, Deriche M, Mahmoud A. Evaluation of Human Immune-Based IDPS Under DoS/DDoS Attacks. In Daimi K, Al Sadoon A, editors, Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23). Springer Science and Business Media Deutschland GmbH. 2023. p. 500-510. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-33743-7_41